Results 41 to 50 of about 256,649 (274)

DFDL: Discriminative Feature-oriented Dictionary Learning for Histopathological Image Classification

, 2015
In histopathological image analysis, feature extraction for classification is a challenging task due to the diversity of histology features suitable for each problem as well as presence of rich geometrical structure.
Monga, Vishal, Mousavi, Hojjat S., Rao, Ganesh, Rao, UK Arvind, Vu, Tiep H.   +4 more
core   +1 more source

Meningioangiomatosis: Clinical, Imaging, and Histopathologic Characteristics

Journal of Clinical Imaging Science, 2020
Meningioangiomatosis is a rare benign lesion involving the central nervous system. Radiographic appearance can be highly variable which makes pre-operative diagnosis difficult. In this report, we describe meningioangiomatosis in a previously healthy 17-year-old woman who presented with seizures and continued headache and dizziness.
Makary, Mina S., Kobalka, Peter, Giglio, Pierre, Slone, H. Wayne   +3 more
openaire   +2 more sources

Deep-Learning for Classification of Colorectal Polyps on Whole-Slide Images

, 2017
Histopathological characterization of colorectal polyps is an important principle for determining the risk of colorectal cancer and future rates of surveillance for patients. This characterization is time-intensive, requires years of specialized training,
Hassanpour, Saeed, Korbar, Bruno, Miraflor, Allen P., Nicka, Katherine M., Olofson, Andrea M., Suriawinata, Arief A., Suriawinata, Matthew A., Torresani, Lorenzo   +7 more
core   +2 more sources

Structural validation of oral mucosal tissue using optical coherence tomography [PDF]

, 2012
Background: Optical coherence tomography (OCT) is a non-invasive optical technology using near-infrared light to produce cross-sectional tissue images with lateral resolution.
Al-Delayme, R, Hamdoon, Z, Hopper, C, Jay, A, Jerjes, W, McKenzie, G   +5 more
core   +1 more source

On image search in histopathology

Journal of Pathology Informatics
Pathology images of histopathology can be acquired from camera-mounted microscopes or whole slide scanners. Utilizing similarity calculations to match patients based on these images holds significant potential in research and clinical contexts. Recent advancements in search technologies allow for implicit quantification of tissue morphology across ...
H.R. Tizhoosh, Liron Pantanowitz
openaire   +4 more sources

The Chihuahua dog: A new animal model for neuronal ceroid lipofuscinosis CLN7 disease? [PDF]

, 2016
Neuronal ceroid lipofuscinoses (NCLs) are a group of incurable lysosomal storage disorders characterized by neurodegeneration and accumulation of lipopigments mainly within the neurons. We studied two littermate Chihuahua dogs presenting with progressive
Alroy, Joseph, Anderson, Glenn W., Bras, Jose, Darwent, Lee, Faller, Kiterie M.E., Guerreiro, Rita J., Gutierrez Quintana, Rodrigo, Kun-Rodrigues, Celia, Mole, Sara E., Penderis, Jacques, Sharpe, Samuel J.   +10 more
core   +2 more sources

Classification of colon biopsy samples by spatial analysis of a single spectral band from its hyperspectral cube [PDF]

, 2007
The histopathological analysis of colon biopsy samples is a very important part of screening for colorectal cancer. There is, however, significant inter-observer and even intra-observer variability in the results of such analysis due to its very ...
Masood, Khalid, Rajpoot, Nasir M. (Nasir Mahmood)   +1 more
core  

Hyperostotic tympanic bone spicules in domestic and wild animal species [PDF]

, 2016
Hyperostotic tympanic bone spicules (HTBS), or "mucoperiosteal exostoses" (ME, syn.) are small, globular (>= 1 mm in diameter), mostly stalked and drumstick-like, bony structures, which arise from the inner wall of the tympanic bulla and project into the
Blutke, A, Bruhschwein, A, Heitmann, A, Hermanns, W, Parzefall, B, Zollner, M   +5 more
core   +2 more sources

Clinical Characteristics and Prognostic Risk Factors for Pediatric B‐Cell Lymphoblastic Lymphoma: A Multicenter Retrospective Cohort Study for China Net Childhood Lymphoma

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background B‐cell lymphoblastic lymphoma (B‐LBL) represents a rare variety of non‐Hodgkin lymphoma, with limited research on its biology, progression, and management. Methods A retrospective analysis was performed on the clinical characteristics of 256 patients aged ≤18 years who received treatment under the China Net Childhood Lymphoma (CNCL)‐
Zhijuan Liu, Jian Wang, Ling Jin, Yanlong Duan, Fu Li, Yueping Jia, Leping Zhang, Xiaojun Yuan, Wei Liu, Ying Liu, Ansheng Liu, Mincui Zheng, Yunpeng Dai, Lian Jiang, Lirong Sun, Xiaowen Zhai, Rong Liu, Chunju Zhou, Zifen Gao, Yonghong Zhang, Xiaomei Yang   +20 more
wiley   +1 more source

Re-identification from histopathology images

Medical Image Analysis
In numerous studies, deep learning algorithms have proven their potential for the analysis of histopathology images, for example, for revealing the subtypes of tumors or the primary origin of metastases. These models require large datasets for training, which must be anonymized to prevent possible patient identity leaks.
Jonathan Ganz, Jonas Ammeling, Samir Jabari, Katharina Breininger, Marc Aubreville   +4 more
openaire   +3 more sources